• Login
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    Towards HMM-based glissando detection for recordings of Chinese bamboo flute 
    •   QMRO Home
    • School of Electronic Engineering and Computer Science
    • Centre for Digital Music (C4DM)
    • Towards HMM-based glissando detection for recordings of Chinese bamboo flute
    •   QMRO Home
    • School of Electronic Engineering and Computer Science
    • Centre for Digital Music (C4DM)
    • Towards HMM-based glissando detection for recordings of Chinese bamboo flute
    ‌
    ‌

    Browse

    All of QMROCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects
    ‌
    ‌

    Administrators only

    Login
    ‌
    ‌

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Towards HMM-based glissando detection for recordings of Chinese bamboo flute

    View/Open
    Published version (557.1Kb)
    Accepted version
    Embargoed until: 2100-01-01
    Reason: Replaced by published version
    Metadata
    Show full item record
    Abstract
    Playing techniques such as ornamentations and articulation effects constitute important aspects of music performance. However, their computational analysis is still under-explored due to a lack of data and established methods. Focusing on the Chinese bamboo flute, we introduce a two-stage glissando detection system based on hidden Markov models (HMMs) with Gaussian mixtures. A rule-based segmentation process extracts glissando candidates that are consecutive note changes in the same direction. Glissandi are then identified by two HMMs (glissando and non-glissando). The study uses a newly created dataset of Chinese bamboo flute recordings. The results, based on both frame- and segment-based evaluation, achieve F-measures of 78% and 73% for ascending glissandi, and 65% and 72% for descending glissandi, respectively. The dataset and method can be used for performance analysis.
    Authors
    WANG, C; BENETOS, E; MENG, X; CHEW, E; International Society for Music Information Retrieval Conference Late-Breaking Demos Session
    URI
    http://qmro.qmul.ac.uk/xmlui/handle/123456789/45825
    Collections
    • Centre for Digital Music (C4DM) [210]
    Licence information
    CC BY 4.0
    Copyright statements
    © The Author(s) 2018
    Twitter iconFollow QMUL on Twitter
    Twitter iconFollow QM Research
    Online on twitter
    Facebook iconLike us on Facebook
    • Site Map
    • Privacy and cookies
    • Disclaimer
    • Accessibility
    • Contacts
    • Intranet
    • Current students

    Modern Slavery Statement

    Queen Mary University of London
    Mile End Road
    London E1 4NS
    Tel: +44 (0)20 7882 5555

    © Queen Mary University of London.